It was a dark and stormy night. Not really, of course; it was warm and pleasantly mild (the weather never seems to co-operate on these occasions), but indulge me by imagining appropriate meteorological conditions for the spine-tingling story I’m about to relate. It was Morgan’s very first night on call, and they were a mite nervous, as you can imagine.

Thanks to Linus Torvalds, the creator of not only Linux, but also the most popular version control system - Git, multiple developers can simultaneously work on the development of the same application, ramping up the speed of production. Git was revolutionary - it enabled developers to keep track of code changes and collaborate seamlessly across different projects.

Prometheus is a popular open-source systems monitoring and alerting project. The project is a member of the Cloud Native Computing Foundation, joining in 2016 as the second hosted project, after Kubernetes. In this blog, we will demonstrate how to implement Application Performance Monitoring (APM) using the Prometheus GoLang client libraries API and de-facto standard data transport model to feed monitoring metrics into the GroundWork Monitor 8 server.

As a Senior Solutions Engineer helping customers deploy cloud-native technologies, I have been using Docker and Rancher for more than five years. Heck, I even helped steer Rancher for offline use when it was the 0.19 release. I have loved the product and company for YEARS. We all know how complicated it is to set up Kubernetes, and customers love Rancher because it simplifies that rollout.

The conventional monitoring solution focussed primarily on analysing the performance of the network. Gradually, the scope of such tools increased and they are now packed with a host of security features. Focus is now more towards Forensic analysis, security threats analyzer, TCP analyzer, Firewall monitoring, Auditing and Compliances. So, how do you know which network security monitoring tool is essential for you? Which technique will provide the best ROI for your business?

One of the key benefits of using Kubernetes is that it’s very flexible and fault tolerant. However, that also means that it has quite a lot of complexity to deal with. A well-built operator abstracts that complexity away and helps manage updates and upgrades seamlessly. The Mattermost Kubernetes operator is basically like having a Mattermost Cloud Engineer running inside your Kubernetes cluster managing Mattermost for you.

Hi, my name is Ayana Yokota and I’m a Developer Advocate at JFrog. I’m excited to introduce the first blog post in my JFrog customers interview series, highlighting unique use-cases and success stories. This fascinating first interview was held with Mr. Yan and Mr. Moriya, from the Infrastructure Engineering team, and Mr. Etourneau from the Arene Tools team, in the Toyota Research Institute – Advanced Development, Inc. (TRI-AD).

In the last couple of decades, businesses have transformed from monolithic to service-oriented to microservices architecture. As a matter of fact, infrastructure has moved from physical servers to virtual machines to cloud and delivery models have changed from waterfall to agile to DevOps. This paradigm shift is being hailed as App Modernization.

Adopting SRE principles into your organization can be a big undertaking. You’ll need to develop new practices and procedures to minimize the costs of incident coordination. You’ll need to create a retrospective process that encourages continuous learning. You’ll need to shift culture to begin appreciating failure as an opportunity to grow. Your transition to the world of SRE will also require buy-in from all levels of your organization.